Presentation 2017-03-02
[Poster Presentation] Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Hiroaki Nanjo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmonic in order to robustly detect a shouted speech in noisy environments. MFCCs collectively make up mel-frequency cepstrum, and rahmonic shows a subharmonic of fundamental frequency in the cepstrum domain. In our previous method, Gaussian mixture models (GMM) is constructed with the proposed features extracted from training data which includes a lot of normal and shouted speech samples. In this paper, evaluation experiments of noisy shouted speech detection were conducted using not only GMM but also hidden Markov models (HMM) and deep neural network (DNN). The results show that MFCCs and rahmonic were effective for representing an utterance mechanism including both vocal tract and vocal cords. In addition, DNN could achieve higher performance in noisy environments than GMM and HMM.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Shouted speech detection / Noisy environment / Rahmonic / Mel-frequency cepstrum coefficients
Paper # EA2016-132,SIP2016-187,SP2016-127
Date of Issue 2017-02-22 (EA, SIP, SP)

Conference Information
Committee SP / SIP / EA
Conference Date 2017/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Industry Support Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics
Chair Kazunori Mano(Shibaura Inst. of Tech.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Mitsunori Mizumachi(Kyushu Inst. of Tech.)
Vice Chair Hiroki Mori(Utsunomiya Univ.) / Masahiro Okuda(Univ. of Kitakyushu) / Shogo Muramatsu(Niigata Univ.) / Yoichi Haneda(Univ. of Electro-Comm.) / Suehiro Shimauchi(NTT)
Secretary Hiroki Mori(Kobe Univ.) / Masahiro Okuda(Shizuoka Univ.) / Shogo Muramatsu(Ritsumeikan Univ.) / Yoichi Haneda(Chiba Inst. of Tech.) / Suehiro Shimauchi(KDDI R&D Labs.)
Assistant Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Osamu Watanabe(Takushoku Univ.) / Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / TREVINO Jorge(Tohoku Univ.)

Paper Information
Registration To Technical Committee on Speech / Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients
Sub Title (in English)
Keyword(1) Shouted speech detection
Keyword(2) Noisy environment
Keyword(3) Rahmonic
Keyword(4) Mel-frequency cepstrum coefficients
1st Author's Name Takahiro Fukumori
1st Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
2nd Author's Name Masato Nakayama
2nd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
3rd Author's Name Takanobu Nishiura
3rd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
4th Author's Name Hiroaki Nanjo
4th Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2017-03-02
Paper # EA2016-132,SIP2016-187,SP2016-127
Volume (vol) vol.116
Number (no) EA-475,SIP-476,SP-477
Page pp.pp.283-286(EA), pp.283-286(SIP), pp.283-286(SP),
#Pages 4
Date of Issue 2017-02-22 (EA, SIP, SP)